Staff DevOps Engineer
Core
Design, build, and maintain CI/CD and MLOps pipelines for automated application and AI model deployments while managing cloud infrastructure and compute resources.
Role type
Staff DevOps Engineer (Cloud & MLOps)
Builds
CI/CD and MLOps pipelines, containerized applications, and scalable cloud infrastructure for AI/ML teams
Domain
Cybersecurity, Cloud Infrastructure, AI/ML Operations
Deliverable
production ML models | infrastructure
Required skills
AWS Cloud Infrastructure, Kubernetes, Docker, CI/CD pipeline design, observability (Prometheus, Grafana, Datadog), Terraform/CloudFormation, NGINX configuration, GPU/TPU resource optimization
Preferred skills
Testing methodologies (unit, integration, system, API), networking fundamentals (TCP/IP, DNS, Routing), security principles and threat modeling, data engineering concepts, Agile practices
Technologies
AWS (EC2, S3, RDS, IAM, VPC, EKS), Terraform, CloudFormation, Prometheus, Grafana, Datadog, PagerDuty, Open Telemetry, NGINX, GitHub Actions, GitLab CI, Jenkins, Docker, Kubernetes
Responsibilities
Design and maintain CI/CD and MLOps pipelines; Manage cloud infrastructure and compute resources using IaC; Implement end-to-end observability; Collaborate with teams to containerize applications; Provision and manage core AWS services; Scale and optimize containerized workloads on EKS; Configure NGINX for routing and load balancing; Build custom dashboards and set up proactive alerting; Support AI teams with self-service platform tools and compute optimization
Seniority
Staff, hands-on IC with strategic oversight
